Biosignal Processing and Classification Using Computational Learning and Intelligence

Written By Alejandro Antonio Torres Garcia
Biosignal Processing and Classification Using Computational Learning and Intelligence
  • Publsiher : Academic Press
  • Release : 15 October 2021
  • ISBN : 9780128201251
  • Pages : 432 pages
  • Rating : /5 from reviews
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Download or read book entitled Biosignal Processing and Classification Using Computational Learning and Intelligence by author: Alejandro Antonio Torres Garcia which was release on 15 October 2021 and published by Academic Press with total page 432 pages . This book available in PDF, EPUB and Kindle Format. Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms and Applications posits an approach for biosignal processing and classification using computational learning and intelligence, highlighting that the term biosignal refers to all kinds of signals that can be continuously measured and monitored in living beings. The book is composed of four relevant parts. Part One is an introduction to biosignals and their processing. Part Two presents the fundamentals of computational learning (machine learning). Then, the main techniques of computational intelligence are described along with the hybrid systems, which are the resulting combinations of these techniques. The authors focus primarily on the explanation of the most used methods in the last part of this book, which is the most extensive portion of the book. This part consists of a recapitulation of the newest applications in which these techniques have been successfully applied to the biosignals' domain, including EEG-based Brain-Computer Interfaces (BCI), emotion recognition from voice, leukemia recognition, infant cry recognition, epilepsy diagnosis from EEG, and automatic smell recognition. Provides coverage of the fundamentals of signal processing, including sensing the heart, sending the brain, sensing human acoustic, and sensing other organs Includes coverage biosignal pre-processing techniques such as filtering, artifiact removal, and feature extraction techniques such as Fourier transform, wavelet transform, and MFCC Covers the latest techniques in machine learning and computational intelligence, including Supervised Learning, common classifiers, feature selection, dimensionality reduction, fuzzy logic, neural networks, Deep Learning, bio-inspired algorithms, and Hybrid Systems Written by engineers to help engineers, computer scientists, researchers, and clinicians understand the technology and applications of computational learning to biosignal processing

Biosignal Processing and Classification Using Computational Learning and Intelligence

Biosignal Processing and Classification Using Computational Learning and Intelligence
  • Author : Alejandro Antonio Torres Garcia,Carlos Alberto Reyes Garcia,Luis Villasenor-Pineda,Omar Mendoza Montoya
  • Publisher : Academic Press
  • Release Date : 2021-10-15
  • Total pages : 432
  • ISBN : 9780128201251
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Summary : Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms and Applications posits an approach for biosignal processing and classification using computational learning and intelligence, highlighting that the term biosignal refers to all kinds of signals that can be continuously measured and monitored in living beings. The book is ...

Machine Learning in Bio Signal Analysis and Diagnostic Imaging

Machine Learning in Bio Signal Analysis and Diagnostic Imaging
  • Author : Nilanjan Dey,Surekha Borra,Amira S. Ashour,Fuqian Shi
  • Publisher : Academic Press
  • Release Date : 2018-11-30
  • Total pages : 345
  • ISBN : 9780128201251
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Summary : Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical ...

Machine Intelligence and Signal Processing

Machine Intelligence and Signal Processing
  • Author : Sonali Agarwal,Shekhar Verma,Dharma P. Agrawal
  • Publisher : Springer Nature
  • Release Date : 2020-02-25
  • Total pages : 466
  • ISBN : 9780128201251
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Summary : This book features selected high-quality research papers presented at the International Conference on Machine Intelligence and Signal Processing (MISP 2019), held at the Indian Institute of Technology, Allahabad, India, on September 7–10, 2019. The book covers the latest advances in the fields of machine learning, big data analytics, signal processing, computational learning theory, ...

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques
  • Author : Abdulhamit Subasi
  • Publisher : Academic Press
  • Release Date : 2019-03-16
  • Total pages : 456
  • ISBN : 9780128201251
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Summary : Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical ...

Classification and Clustering in Biomedical Signal Processing

Classification and Clustering in Biomedical Signal Processing
  • Author : Dey, Nilanjan
  • Publisher : IGI Global
  • Release Date : 2016-04-07
  • Total pages : 463
  • ISBN : 9780128201251
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Summary : Advanced techniques in image processing have led to many innovations supporting the medical field, especially in the area of disease diagnosis. Biomedical imaging is an essential part of early disease detection and often considered a first step in the proper management of medical pathological conditions. Classification and Clustering in Biomedical ...

Introduction to Computational Health Informatics

Introduction to Computational Health Informatics
  • Author : Arvind Kumar Bansal,Javed Iqbal Khan,S. Kaisar Alam
  • Publisher : CRC Press
  • Release Date : 2020-01-08
  • Total pages : 576
  • ISBN : 9780128201251
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Summary : This class-tested textbook is designed for a semester-long graduate or senior undergraduate course on Computational Health Informatics. The focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer science and clinical perspectives. This book prepares computer science ...

Biomedical Signal Processing and Artificial Intelligence in Healthcare

Biomedical Signal Processing and Artificial Intelligence in Healthcare
  • Author : Walid A. Zgallai
  • Publisher : Academic Press
  • Release Date : 2020-07-29
  • Total pages : 268
  • ISBN : 9780128201251
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Summary : Biomedical Signal Processing and Artificial Intelligence in Healthcare is a new volume in the Developments in Biomedical Engineering and Bioelectronics series. This volume covers the basics of biomedical signal processing and artificial intelligence. It explains the role of machine learning in relation to processing biomedical signals and the applications in ...

Practical Machine Learning for Data Analysis Using Python

Practical Machine Learning for Data Analysis Using Python
  • Author : Abdulhamit Subasi
  • Publisher : Academic Press
  • Release Date : 2020-06-05
  • Total pages : 534
  • ISBN : 9780128201251
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Summary : Practical Machine Learning for Data Analysis Using Python is a problem solver’s guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and solve different problems with machine learning. It ...

Machine Intelligence and Signal Analysis

Machine Intelligence and Signal Analysis
  • Author : M. Tanveer,Ram Bilas Pachori
  • Publisher : Springer
  • Release Date : 2018-08-07
  • Total pages : 767
  • ISBN : 9780128201251
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Summary : The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical ...

Bio inspired Neurocomputing

Bio inspired Neurocomputing
  • Author : Akash Kumar Bhoi,Pradeep Kumar Mallick,Chuan-Ming Liu,Valentina E. Balas
  • Publisher : Springer Nature
  • Release Date : 2020-07-21
  • Total pages : 427
  • ISBN : 9780128201251
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Summary : This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered ...

Handbook of Research on Machine Learning Applications and Trends Algorithms Methods and Techniques

Handbook of Research on Machine Learning Applications and Trends  Algorithms  Methods  and Techniques
  • Author : Olivas, Emilio Soria,Guerrero, Jos‚ David Mart¡n,Martinez-Sober, Marcelino,Magdalena-Benedito, Jose Rafael,Serrano L¢pez, Antonio Jos‚
  • Publisher : IGI Global
  • Release Date : 2009-08-31
  • Total pages : 852
  • ISBN : 9780128201251
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Summary : "This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher....

Machine Intelligence and Signal Processing

Machine Intelligence and Signal Processing
  • Author : Richa Singh,Mayank Vatsa,Angshul Majumdar,Ajay Kumar
  • Publisher : Springer
  • Release Date : 2015-10-01
  • Total pages : 163
  • ISBN : 9780128201251
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Summary : This book comprises chapters on key problems in machine learning and signal processing arenas. The contents of the book are a result of a 2014 Workshop on Machine Intelligence and Signal Processing held at the Indraprastha Institute of Information Technology. Traditionally, signal processing and machine learning were considered to be separate ...

Pattern Recognition and Machine Intelligence

Pattern Recognition and Machine Intelligence
  • Author : Bhabesh Deka,Pradipta Maji,Sushmita Mitra,Dhruba Kumar Bhattacharyya,Prabin Kumar Bora,Sankar Kumar Pal
  • Publisher : Springer Nature
  • Release Date : 2020-01-09
  • Total pages : 583
  • ISBN : 9780128201251
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Summary : The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, held in Tezpur, India, in December 2019. The 131 revised full papers presented were carefully reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine ...

Proceedings of International Joint Conference on Computational Intelligence

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  • Author : Mohammad Shorif Uddin,Jagdish Chand Bansal
  • Publisher : Springer
  • Release Date : 2019-07-03
  • Total pages : 749
  • ISBN : 9780128201251
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Summary : This book gathers outstanding research papers presented at the International Joint Conference on Computational Intelligence (IJCCI 2018), which was held at Daffodil International University on 14–15 December 2018. The topics covered include: collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal ...

ECG Signal Processing Classification and Interpretation

ECG Signal Processing  Classification and Interpretation
  • Author : Adam Gacek,Witold Pedrycz
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-09-18
  • Total pages : 278
  • ISBN : 9780128201251
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Summary : The book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. The text is self-contained, addressing concepts, methodology, algorithms, and case studies and applications, providing the reader with the necessary background augmented ...